R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(0,49,34,39,9,46,39,33,1,45,40,32,4,49,45,34,6,47,43,37,21,45,42,38,24,48,49,28,23,51,43,31,22,48,50,28,21,49,44,30,20,51,40,39,16,54,41,38,18,52,45,39,18,52,45,38,24,53,48,37,16,51,54,32,15,55,47,32,24,53,35,44,18,51,28,43,15,52,28,42,4,54,34,38,3,58,23,37,6,57,33,35,5,52,38,37,12,50,41,33,12,53,47,24,12,50,46,24,14,50,45,31,12,51,47,25,17,53,49,28,12,49,50,24,20,54,56,25,21,57,50,16,15,58,56,17,22,56,58,11,19,60,59,12,19,55,51,39,26,54,59,19,25,52,60,14,19,55,60,15,20,56,68,7,30,54,62,12,31,53,62,12,35,59,58,14,33,62,56,9,26,63,50,8,25,64,52,4,17,75,36,7,14,77,33,3,8,79,26,5,12,77,28,0,7,82,27,-2,4,83,20,6,10,81,16,11,8,78,11,9,16,79,0,17,14,79,3,21,20,73,10,21,9,72,0,41,10,67,3,57),dim=c(4,60),dimnames=list(c('Spaargedrag','Consumptieprijzen','Econsituatie','Werkloosheidsvooruitzichten'),1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('Spaargedrag','Consumptieprijzen','Econsituatie','Werkloosheidsvooruitzichten'),1:60))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> main = 'Kendall tau Correlation Plot'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method='kendall')
+ r <- round(rr$p.value,2)
+ txt <- format(c(r, 0.123456789), digits=digits)[1]
+ txt <- paste(prefix, txt, sep='')
+ if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
+ text(0.5, 0.5, txt, cex = cex)
+ }
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/www/html/rcomp/tmp/1koa01228485508.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'pair',1,TRUE)
> a<-table.element(a,'tau',1,TRUE)
> a<-table.element(a,'p-value',1,TRUE)
> a<-table.row.end(a)
> n <- length(y[,1])
> n
[1] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = -0.2048, p-value = 0.8377
alternative hypothesis: true tau is not equal to 0 
sample estimates:
        tau 
-0.01868073 

> for (i in 1:(n-1))
+ {
+ for (j in (i+1):n)
+ {
+ a<-table.row.start(a)
+ dum <- paste('tau(',dimnames(t(x))[[2]][i])
+ dum <- paste(dum,',')
+ dum <- paste(dum,dimnames(t(x))[[2]][j])
+ dum <- paste(dum,')')
+ a<-table.element(a,dum,header=TRUE)
+ r <- cor.test(y[i,],y[j,],method='kendall')
+ a<-table.element(a,r$estimate)
+ a<-table.element(a,r$p.value)
+ a<-table.row.end(a)
+ }
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2698g1228485508.tab") 
> 
> system("convert tmp/1koa01228485508.ps tmp/1koa01228485508.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.485   0.224   0.569